R Churning (2024)

1. Tutorial: Use R to predict churn - Microsoft Fabric

7 feb 2024 · This tutorial shows a data science work flow in R, with an end-to-end example of building a model to predict churn.
This tutorial shows a data science work flow in R, with an end-to-end example of building a model to predict churn.

This part of rankt was developed for the reddit community https://www.reddit.com/r/churning. Post your referrals at /r/churningreferrals.

The following post details how to make a churn model in R. It was part of an interview process for which a take home assignment was one of the stages. The ...
The following post details how to make a churn model in R. It was part of an interview process for which a take home assignment was one of

31 aug 2019 · r/churning is a subreddit dedicated to maximizing credit rewards and travel hacking. The subreddit has a fairly unique template for activity ...
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/r/churning is a subreddit dedicated to maximizing credit rewards and travel hacking. The subreddit has a fairly unique template for activity that is fairly distinct from the rest of reddit - discussions are mostly siloed in weekly threads, with only the rare top level post. I thought it would be interesting to run an analysis of user behavior and activity in the sub, as well as find patterns in the distribution of content.

27 jun 2020 · Using GLM, Decision Tree and Random Forest to predict Churn and compare the models with their accuracy and AUC values.
Using GLM, Decission Tree and Random Forest to predict Churn and compare the models with their accuracy and AUC values

A score of 1 means that users of r/churning are no more likely to frequent that subreddit than the average reddit user. A score of 0 means that users of r/ ...
A network/graph visualisation of the top subreddits to show their relationships to one another.
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31 dec 2018 · Exploratory Data Analysis ... Electronic check is really high than others. Let's speciliaze this electronic check by means of Churn. ... It is not a ...
I am using again another kaggle data. Link is here: First, I should present the libraries which I used.

3 jan 2018 · We can shortly define customer churn (most commonly called “churn”) as customers that stop doing business with a company or a service. There are ...
Hello everyone, Today we will make a churn analysis with a dataset provided by IBM. You can find the dataset here. What is a churn? We can shortly define customer churn (most commonly called “churn”) as customers that stop doing business with a company or a service. There are customer ...

Customer churn occurs when customers stop doing business with a company, also known as customer attrition. The data set contains 5000 5000 5000 rows (customers) ...
This dataset comes from IBM Sample Data Sets. Customer churn occurs when customers stop doing business with a company, also known as customer attrition. The data set contains 5000 rows (customers) and 20 columns (features). The "Churn" column is our target which indicate whether customer churned (left the company) or not.

Sign In. Username or Email. Password. Forgot your password? Sign In Cancel. RPubs. by RStudio. Sign in Register. Description of dataset. Analyses of the data.
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The next step is to split the dataset into train and test subsets. We first create a partition and use it to split the data. Before splitting the dataset, we ...
A practical guide for R programming language

14 apr 2023 · Survival analysis is a statistical technique that consists of analyzing the lifetimes of individuals from the time they enter the study ...
Survival analysis is a statistical technique that consists of analyzing the lifetime of individuals until the event of interest occurs.